Recent Developments in Numerical Methods, Machine Learning Techniques, and Quantum Computing for Geoscience Applications
A special issue of Axioms (ISSN 2075-1680).
Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 3119
Special Issue Editors
Interests: machine learning; multiphysics modeling; geomechanics
Interests: coupled processes; uncertainty quantification; subsurface monitoring
Special Issue Information
Dear Colleagues,
This Special Issue focuses on recent advancements in numerical methods, machine learning techniques, and quantum computing for geoscience research.
Topics of interest include, but are not limited to, (1) newly developed finite difference, finite volume, finite element methods, or a combination among these, focusing on locally conservative methods, higher-order approximations, multi-scale multi-dimensional modeling, or dynamics mesh adaptivity; (2) machine learning algorithms and applications for model reduction, optimization, inverse problems, uncertainty quantification, highly parameterized problems (e.g., the parametrization of heterogeneous fields), and efficient dimensionality reduction of nonlinear operators; and (3) quantum computing applications in geoscience research; for instance, seismic inversion with quantum annealing, quantum-computational hydrologic inverse analysis, or quantum optimization.
We hope that this Special Issue will bring together researchers working on both fundamental and applied numerical methods, machine learning, and quantum computing. This would benefit the broader geoscience community.
Dr. Hongkyu Yoon
Dr. Hamid Nick
Dr. Teeratorn Kadeethum
Guest Editors
Manuscript Submission Information
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Keywords
- geosicence
- numerical methods
- machine learning
- quantum computing
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